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Introduction: - Comparative Approaches to Data and Methods in Corpus Linguistics

Published online by Cambridge University Press:  06 May 2022

By
Julia Schlüter  and
Ole Schützler
Edited by
Ole Schützler  and
Julia Schlüter
Ole Schützler
Affiliation:
Universität Leipzig
Julia Schlüter
Affiliation:
Universität Bamberg
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Summary

In the Introduction, the editors describe the motivations and aims underlying the publication of the book against the background of the importance of corpus linguistics in current research and the associated methodological diversification. The didactic orientation of the book is outlined, as is its organization into four major parts and the contribution made by each chapter. Going beyond a summary of the contents, the editors voice some reflections on the state of the art in corpus linguistics and desiderata for future research. Finally, recommendations for further reading are listed and provided with comments.

Keywords

comparative approachmethodological diversityparadigm shiftmethodological criticismcritical reflectionalternative methodologiesmeta-discoursedidactic approachcase studies
Type
Chapter
Information
Data and Methods in Corpus Linguistics
Comparative Approaches
 , pp. 1 - 14
Publisher: Cambridge University Press
Print publication year: 2022

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References

Baayen, Harald. 2008. Analyzing Linguistic Data: A Practical Introduction to Statistics Using R. Cambridge: Cambridge University Press.Google Scholar
Baker, Paul, and Egbert, Jesse, eds. 2016. Triangulating Methodological Approaches in Corpus-Linguistic Research. London: Routledge.CrossRefGoogle Scholar
Biber, Douglas, and Reppen, Randi, eds. 2015. The Cambridge Handbook of Corpus Linguistics. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Creswell, John W. 2014. Research Design: Qualitative, Quantitative and Mixed Methods Approaches. 4th ed. Thousand Oaks, CA: Sage PublicationsGoogle Scholar
Desagulier, Guillaume. 2017. Corpus Linguistics and Statistics with R. Berlin: Springer.CrossRefGoogle Scholar
Gries, Stefan Th. 2013. Statistics for Linguistics with R: A Practical Introduction. Berlin: Mouton de Gruyter.CrossRefGoogle Scholar
Hiltunen, Turo, McVeigh, Joe and Säily, Tanja, eds. 2017. Big and Rich Data in English Corpus Linguistics: Methods and Explorations. Studies in Variation, Contacts and Change in English 19. https://varieng.helsinki.fi/series/volumes/19/.Google Scholar
Johnson, Keith. 2008. Quantitative Methods in Linguistics. Malden, MA: Blackwell.Google Scholar
Krug, Manfred, and Schlüter, Julia, eds. 2013. Research Methods in Language Variation and Change. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Levshina, Natalia. 2015. How to Do Linguistics with R: Data Exploration and Statistical Analysis. Amsterdam/Philadelphia: John Benjamins.Google Scholar
Lindquist, Hans, and Levin, Magnus. 2018. Corpus Linguistics and the Description of English. 2nd ed. Edinburgh: Edinburgh University Press.Google Scholar
Litosseliti, Lia. 2010. Research Methods in Linguistics. London: Continuum.Google Scholar
Lüdeling, Anke, and Kytö, Merja, eds. 2009. Corpus Linguistics: An International Handbook. 2 vols. Berlin/New York: Mouton de Gruyter [HSK 29.1–2].CrossRefGoogle Scholar
McEnery, Tony, and Hardie, Andrew. 2012. Corpus Linguistics: Method, Theory and Practice. Cambridge: Cambridge University Press.Google Scholar
O’Keeffe, Anne, and Michael, McCarthy, eds. 2010. The Routledge Handbook of Corpus Linguistics. London: Routledge.Google Scholar
Paquot, Magali, and Gries, Stefan Th, eds. 2021. A Practical Handbook of Corpus Linguistics. Cham: Springer.Google Scholar
Podesva, Robert J., and Sharma, Devyani, eds. 2013. Research Methods in Linguistics. Cambridge: Cambridge University Press.Google Scholar
Wallis, Sean. 2021. Statistics in Corpus Linguistics Research: A New Approach. Abingdon: Routledge.Google Scholar
Winter, Bodo. 2020. Statistics for Linguists: An Introduction Using R. Abingdon: Routledge.Google Scholar

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